Contrastive Learning

Contrastive Learning is a deep learning technique for unsupervised representation learning. The goal is to learn a representation of data such that similar instances are close together in the representation space, while dissimilar instances are far apart.

It has been shown to be effective in various computer vision and natural language processing tasks, including image retrieval, zero-shot learning, and cross-modal retrieval. In these tasks, the learned representations can be used as features for downstream tasks such as classification and clustering.

(Image credit: Schroff et al. 2015)

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 6401–6425 of 6661 papers

Title	Date	Tasks	Status	Hype
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization	Nov 23, 2020	Contrastive LearningRepresentation Learning	CodeCode Available	1
Exploring Contrastive Learning in Human Activity Recognition for Healthcare	Nov 23, 2020	Activity RecognitionContrastive Learning	CodeCode Available	1
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning	Nov 23, 2020	Action RecognitionContrastive Learning	—Unverified	0
Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach	Nov 22, 2020	Contrastive LearningSelf-Supervised Learning	—Unverified	0
Geography-Aware Self-Supervised Learning	Nov 19, 2020	Contrastive Learningimage-classification	CodeCode Available	1
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning	Nov 19, 2020	Contrastive Learningobject-detection	CodeCode Available	1
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations	Nov 19, 2020	Contrastive LearningData Augmentation	—Unverified	0
Dense Contrastive Learning for Self-Supervised Visual Pre-Training	Nov 18, 2020	Contrastive Learningimage-classification	CodeCode Available	1
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning	Nov 17, 2020	ClassificationContrastive Learning	CodeCode Available	1
Contrastive Registration for Unsupervised Medical Image Segmentation	Nov 17, 2020	Contrastive LearningImage Segmentation	CodeCode Available	1
Self-supervised Document Clustering Based on BERT with Data Augment	Nov 17, 2020	ClusteringContrastive Learning	—Unverified	0
Can Semantic Labels Assist Self-Supervised Visual Representation Learning?	Nov 17, 2020	Contrastive LearningRepresentation Learning	—Unverified	0
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries	Nov 17, 2020	Contrastive LearningLinear evaluation	CodeCode Available	1
Combating the Instability of Mutual Information-based Losses via Regularization	Nov 16, 2020	Contrastive Learning	CodeCode Available	0
On the Marginal Benefit of Active Learning: Does Self-Supervision Eat Its Cake?	Nov 16, 2020	Active LearningContrastive Learning	—Unverified	0
Unsupervised Contrastive Learning of Sound Event Representations	Nov 15, 2020	Contrastive LearningLinear evaluation	CodeCode Available	1
Bi-tuning of Pre-trained Representations	Nov 12, 2020	Contrastive LearningUnsupervised Pre-training	—Unverified	0
Unsupervised Video Representation Learning by Bidirectional Feature Prediction	Nov 11, 2020	Action RecognitionContrastive Learning	—Unverified	0
Unsupervised Learning of Dense Visual Representations	Nov 11, 2020	Contrastive LearningData Augmentation	—Unverified	0
Towards Domain-Agnostic Contrastive Learning	Nov 9, 2020	Contrastive LearningData Augmentation	—Unverified	0
Self-Supervised Learning from Contrastive Mixtures for Personalized Speech Enhancement	Nov 6, 2020	Contrastive LearningFew-Shot Learning	CodeCode Available	0
Intriguing Properties of Contrastive Losses	Nov 5, 2020	Contrastive LearningData Augmentation	CodeCode Available	2
Center-wise Local Image Mixture For Contrastive Representation Learning	Nov 5, 2020	Contrastive LearningData Augmentation	—Unverified	0
CODER: Knowledge infused cross-lingual medical term embedding for term normalization	Nov 5, 2020	Contrastive LearningKnowledge Graphs	CodeCode Available	1
Learning and Evaluating Representations for Deep One-class Classification	Nov 4, 2020	Anomaly DetectionClassification	CodeCode Available	1

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All datasets imagenet-1k 10,000 People - Human Pose Recognition Data CIFAR-10 STL-10

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ResNet50	ImageNet Top-1 Accuracy	73.6	—	Unverified
2	ResNet50	ImageNet Top-1 Accuracy	73	—	Unverified
3	ResNet50	ImageNet Top-1 Accuracy	71.1	—	Unverified
4	ResNet50	ImageNet Top-1 Accuracy	69.3	—	Unverified
5	ResNet50 (v2)	ImageNet Top-1 Accuracy	67.6	—	Unverified
6	ResNet50 (v2)	ImageNet Top-1 Accuracy	63.8	—	Unverified
7	ResNet50	ImageNet Top-1 Accuracy	63.6	—	Unverified
8	ResNet50	ImageNet Top-1 Accuracy	61.5	—	Unverified
9	ResNet50	ImageNet Top-1 Accuracy	61.5	—	Unverified
10	ResNet50 (4×)	ImageNet Top-1 Accuracy	61.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1	0..5sec	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IPCL (ResNet18)	Accuracy (Top-1)	84.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IPCL (ResNet18)	Accuracy (Top-1)	85.55	—	Unverified